Generative AI in the manufacturing process: theoretical considerations

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F23%3APU150098" target="_blank" >RIV/00216305:26110/23:PU150098 - isvavai.cz</a>

Result on the web

<a href="https://sciendo.com/article/10.2478/emj-2023-0029" target="_blank" >https://sciendo.com/article/10.2478/emj-2023-0029</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/emj-2023-0029" target="_blank" >10.2478/emj-2023-0029</a>

Result language

angličtina

Original language name

Generative AI in the manufacturing process: theoretical considerations

Original language description

The paper aims to identify how digital transformation and Generative Artificial Intelligence (GAI), in particular, affect the manufacturing processes. Several dimensions of the Industry 4.0 field have been considered, such as the design of new products, workforce and skill optimisation, enhancing quality control, predictive maintenance, demand forecasting, and marketing strategy. The paper adopts qualitative research based on a critical review approach. It provides evidence of the GAI technology support in the mentioned areas. Appropriate use of emerging technology allows managers to transform manufacturing by optimising processes, improving product design, enhancing quality control, and contributing to overall efficiency and innovation in the industry. Simultaneously, GAI technologies facilitate predictive analytics to forecast and anticipate future demand, quality issues, and potential risks, improve a marketing strategy and identify market trends.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

20101 - Civil engineering

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Engineering Management in Production and Services

ISSN

2543-6597

e-ISSN

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Volume of the periodical

15

Issue of the periodical within the volume

4

Country of publishing house

PL - POLAND

Number of pages

14

Pages from-to

76-89

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85182436211